This study introduced a new mobile neuro-cognitive assessment tool to predict recidivism risk among probationers. The tool measures decision-making abilities and traits linked to criminal behavior in an engaging, tablet-based format. Machine learning models were used to quantify recidivism risk. Testing 730 probationers showed the tool has predictive validity comparable to commonly used risk assessments.